Dynamic reliability modeling and assessment with PyCATSHOO: Application to a test case H Chraibi PSAM congress, 2013 | 38 | 2013 |
PyCATSHOO: Toward a new platform dedicated to dynamic reliability assessments of hybrid systems H Chraibi, JC Houbedine, A Sibler PSAM congress, 2016 | 35 | 2016 |
Formalism and semantics of PyCATSHOO: A simulator of distributed stochastic hybrid automata L Desgeorges, PY Piriou, T Lemattre, H Chraibi Reliability Engineering & System Safety 208, 107384, 2021 | 21 | 2021 |
Arch-comp21 category report: Stochastic models A Abate, H Blom, M Bouissou, N Cauchi, H Chraibi, J Delicaris, ... 8th International Workshop on Applied Verification of Continuous and Hybrid …, 2021 | 16 | 2021 |
Critical comparison of two user friendly tools to study Piecewise Deterministic Markov Processes (PDMP): season 2 M Bouissou, H Chraibi, I Chubarova Proceedings of ESREL, 2013 | 11 | 2013 |
Using Dynamic Bayesian Networks to solve a dynamic reliability problem P Broy, H Chraibi, R Donat Advances in Safety, Reliability and Risk Manag, 2012 | 10 | 2012 |
Optimal potential functions for the interacting particle system method H Chraibi, A Dutfoy, T Galtier, J Garnier Monte Carlo Methods and Applications 27 (2), 137-152, 2021 | 9 | 2021 |
On the optimal importance process for piecewise deterministic markov process H Chraibi, A Dutfoy, T Galtier, J Garnier ESAIM: Probability and Statistics 23, 893-921, 2019 | 9 | 2019 |
Dynamic probabilistic risk assessment at a design stage for a sodium fast reactor V Rychkov, H Chraibi | 7 | 2017 |
A new methodology to model and assess reliability of large dynamic hybrid systems P Broy, C Hassane, R Donat, C Bérenguer, Y Dijoux MMR 2013-8th International Conference on Mathematical Methods in Reliability …, 2013 | 6 | 2013 |
Getting started with PyCATSHOO H Chraibi Paris Saclay Lab, Tech. Rep, 2018 | 5 | 2018 |
Application of the interacting particle system method to piecewise deterministic Markov processes used in reliability H Chraibi, A Dutfoy, T Galtier, J Garnier Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (6), 2019 | 4 | 2019 |
Utilisation de la simulation de Monte-Carlo pour la résolution d’un benchmark (MINIPLANT) M Bouissou, H Chraibi, S Muffat Actes du 14e congres de fiabilité et maintenabilité de l’IMdR (λµ14), 2004 | 4 | 2004 |
A pragmatic approach for measuring maintainability of dpra models I Rychkova, F Boissier, H Chraibi, V Rychkov arXiv preprint arXiv:1706.02259, 2017 | 3 | 2017 |
Adaptive importance sampling based on fault tree analysis for piecewise deterministic Markov process G Chennetier, H Chraibi, A Dutfoy, J Garnier SIAM/ASA Journal on Uncertainty Quantification 12 (1), 128-156, 2024 | 2 | 2024 |
Adéquation des Automates Stochastiques Hybrides pour la modélisation des conséquences d’un événement redouté C Duval, N Brinzei, H Chraibi, M Hassanaly 22e Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement, Institut …, 2020 | 2 | 2020 |
Resilience Assessment of Interconnected Critical Infrastructures with PyCAT-SHOO H Chraibi 11th international conference on mathematical methods in reliability (MMR …, 2019 | 2 | 2019 |
Speed-up reliability assessment for multi-component systems: importance sampling adapted to piecewise deterministic Markovian processes H Chraibi, A Dutfoy, T Galtier, J Garnier ESREL conference, 2016 | 2 | 2016 |
Integrated dynamic probabilistic safety assessments with PyCATSHOO: a new coupling approach H CHRAIBI, JC HOUDEBINE, C PICOCO, V RYCHKOV PSAM16, 2022 | 1 | 2022 |
Monte-Carlo acceleration: importance sampling and hybrid dynamic systems H Chraïbi, A Dutfoy, T Galtier, J Garnier arXiv preprint arXiv:1707.08136, 2017 | 1 | 2017 |